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Andrew Glenn ( University of Tennessee ) For the PHENIX Collaboration Fall DNP Meeting Tucson, AZ

Single Muon Production in . = 200 GeV Au+Au Collisions at the PHENIX Experiment. Andrew Glenn ( University of Tennessee ) For the PHENIX Collaboration Fall DNP Meeting Tucson, AZ October 31, 2003. The Apparatus. Steel Absorber.

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Andrew Glenn ( University of Tennessee ) For the PHENIX Collaboration Fall DNP Meeting Tucson, AZ

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  1. Single Muon Production in . = 200 GeV Au+Au Collisions at thePHENIX Experiment Andrew Glenn(University of Tennessee) For the PHENIX CollaborationFall DNP Meeting Tucson, AZ October 31, 2003

  2. The Apparatus Steel Absorber Detector (Iarocci Tubes) Andrew Glenn, University of Tennessee

  3. Sources of Muon Candidates • D (B) meson semi-leptonic decays(D K …) Prompt Signal • Decay muons from hadron decays (±± , K±± ) • ‘Hadron’ Punch Through(±, K±, p) • Decays from J/, , Drell-Yan…(Small Contribution) MuID Gap 0 1 2 3 4 Background     Steel absorber Andrew Glenn, University of Tennessee

  4. Data Sample • RHIC Run II Au+Au (The first muon capable run) • Start With 7.7M Minimum-Bias Events(Cleanest section of running period) • Cuts on: • Vertex (-20 to 38cm) • Track Quality (2/DOF < 7, NTrHits >=12) •  (-1.51 to -1.79 or  = 155 -161o) Uniform acceptance in event vertex. • Azimuthal Cut Andrew Glenn, University of Tennessee

  5. Muon Identification MuID Last Gap = 2 Gap (Plain) 0 1 2 3 4 Sharp Muon Peak 1 GeV  3 GeV  Long tail from interacting hadrons (more evidence to come) 3 GeV  Centrality > 20% steel Main muon identification is from momentum/depth matching Andrew Glenn, University of Tennessee

  6. Peripheral Data Vs Simulation Simulation: Muons From Central Hijing Data: Centrality > 60 (For cleaner events) Last Gap = 2 Falsely extended tracks Last Gap = 4 No clear peak or tailsince last gap. Last Gap = 3 Andrew Glenn, University of Tennessee

  7. Decay Contribution We want to separate the contribution from prompt muon production and /K decays • D c = 0.03 cm Decays before absorber •  c = 780 cm Most are absorbed, but some decay first • K c = 371 cm Most are absorbed, but some decay first • γcτ >> 80cm → Decay Probability nearly constant between nosecones magnet 40 cm X Muon tracker Muon ID Collision Point Z nosecone • Collisions occurring closer to the absorber will have fewer decay contributions. Should see a linear increase in decay background with increasing vertex. Andrew Glenn, University of Tennessee

  8. Vertex Dependence Very Linear Shape Due to Decays Centrality > 20% = Centrality > 20% 1 < pT > 3 GeV/c Centrality > 20% Not due to vertex detector resolution Andrew Glenn, University of Tennessee

  9. Interacting Hadron Vertex Last Gap = 2 Centrality > 20% Centrality > 20% Interacting Hadrons: Last Gaps 2 and 3, Pz St3 tail. Flat shape indicates little to no decay (hence muon) component Andrew Glenn, University of Tennessee

  10. Decay pT Distribution Muon Vertex Region I Region II Region II – Region I Centrality > 20% Decays prompt decay + punchthrough ?? Z vertex From simple (event vertex corrected) subtraction of near muons from far muons(Hence NOT NORMALIZED, also NOT ACCEPTANCE/EFFICIENCY CORRECTED) Andrew Glenn, University of Tennessee

  11. Simulations • A first approach to estimate the fraction of decay contribution used HIJING+GEANT Au+Au simulations. • Large statistical error and large error due to lack of HIJING tuning (K/ Ratios, pT distribtions etc.) • With the recent availability of BRAHMS  and K data at Muon Arm rapidities, we can examine a data driven simulation approach. • An accurate modeling of K and  (and p) production for simulation input is needed for punchthrough estimations. Andrew Glenn, University of Tennessee

  12. Data Driven Particle Generator BRAHMS5% most central 5% Most Central Events Provides scaling BRAHMS data extracted from Djamel Ouerdane’s thesis Use scaled PHENIX central arm data to for basis of event generator. BRAHMS preliminary data helps with scaling and justification ( P(y,pT) ≈ P(y)P(pT) ). Only measurements for 5% most central events are available from BRAHMS. Andrew Glenn, University of Tennessee

  13. Generator First Look • Single K’s and ’s thrown with BRAHMS (preliminary, 5% most central) pT and dN/dy shapes. pT > 1 GeV required. Passed through full simulation/reconstruction. • Decays: 900K Single Hadrons Gives: • Punchthrough: 800K Single Hadrons Gives: Andrew Glenn, University of Tennessee

  14. Summary • A significant number of muons were measured in Run II Au+Au. • A fraction of interacing hadrons can be clearly identified. (Helps understand punchthrough) • Muon candidate vertex dependence provides important information about decay contribution. • A simulation procedure is being developed which should allow good estimation of decay and punchthrough contributions. Andrew Glenn, University of Tennessee

  15. Backup Slide Andrew Glenn, University of Tennessee

  16. Simulated Decay Muons • Central HIJING events ran through GEANT simulation. • Closest cuts possible to match data (without full reconstruction). • 17100 total events distributed over Z=±10, ±20, ±38 Large statistical errorand large error due to lack of HIJING tuning(K/ Ratios etc.) Projected contribution of decay muons ends at ~75 cm A better method is needed for both decay and punchthrough estimation. Not in fit, Geometric effect also seen in data Andrew Glenn, University of Tennessee

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